Robust & Instinctive Learning

OBSERV intuitively adapts to user behavior and will not show the same false positive alerts over and over. The technology allows for improved functionality as you use the solution and ultimately tailors itself to the environment based on your behavior. For example, user actions such as marking a potential violation as not an actual violation, will teach the system to not mark similar communications as potential violations in the future. Similarly, closing an issue because it is not a problematic communication, escalating an issue to a superior to review or flagging for further review, all of these actions teach the system and improve its future accuracy and efficiency.